Ai architect

Job Title: Agentic AI Architect
Experience Level: 8+ years (minimum 2–3 years in ML, Gen AI and Multi-Agent Systems)
Key Responsibilities:
- Architect and implement agentic AI systems using modern LLM orchestration frameworks (Lang Chain, Crew AI, Auto Gen, etc.).
- Design multi-agent collaboration models including planner-solver, autonomous teams, and goal decomposition agents.
- Build reusable tooling, APIs, and memory architectures for agent interaction, coordination, and context persistence.
- Lead hands-on development and deployment of Gen AI applications (e.g., assistants, copilots, decision support).
- Evaluate and integrate LLMs (Open AI, Claude, Mistral, LLa MA, etc.), vector databases (Pinecone, Weaviate, FAISS), and retrieval systems (RAG).
- Optimize agent performance for real-time environments, reliability, scalability, and ethical constraints.
- Guide teams in adopting agent frameworks, best practices, prompt engineering, and model fine-tuning.<...